Simple play icon Course
Skills

Building Resilient Streaming Analytics Systems on Google Cloud

by Google Cloud

Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations.

What you'll learn

Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.

Table of contents

Introduction
1min
Introduction
1min
Introduction to Processing Streaming Data
6mins
Introduction to Processing Streaming Data
6mins
Serverless Messaging with Pub/Sub
23mins
Serverless Messaging with Pub/Sub
23mins
Dataflow Streaming Features
11mins
Dataflow Streaming Features
11mins
High-Throughput BigQuery and Bigtable Streaming Features
27mins
High-Throughput BigQuery and Bigtable Streaming Features
27mins
Advanced BigQuery Functionality and Performance
33mins
Advanced BigQuery Functionality and Performance
33mins
Course Summary
1min
Course Summary
1min
Course Resources
0mins
Course Resources
0mins

About the author

Google Cloud

Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.

See more courses by Google Cloud
Ready to upskill? Get started